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应用状态空间方法和现代时间序列分析方法［１］，基于白噪声估值器和输出预报器，提出了解决带输入的线性离散定常系统稳态最优和自校正Ｋａｌｍａｎ平滑新方法，并给出了在飞行器跟踪方面的应用，仿真结果说明了本文结果的实用性和有效性。
Based on the white noise estimator and output predictor, a new method to solve steady-state optimal and self-tuning Kalman smoothing for linear discrete stationary systems with inputs is proposed by applying state-space method and modern time-series analysis method [1] The application in the aircraft tracking, the simulation results illustrate the practicality and effectiveness of the results of this paper.